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Biblioteca(s): |
Ebooks. |
Data corrente: |
16/06/2011 |
Data da última atualização: |
16/06/2011 |
Autoria: |
ALTMANN, J.; NEUMANN, D.; FAHRINGER, T. |
Afiliação: |
Jörn Altmann; Dirk Neumann; Thomas Fahringer. |
Título: |
Grid Economics and Business Models: 5th International Workshop, GECON 2008, Las Palmas de Gran Canaria, Spain, August 26, 2008. Proceedings |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
Springer eBooks. |
Descrição Física: |
v.: digital |
Série: |
Lecture Notes in Computer Science,5206 |
ISBN: |
9783540854852 |
Idioma: |
Inglês |
Palavras-Chave: |
Computer Appl. in Administrative Data Processing; Computer Communication Networks; Electronic commerce; Electronic Commerce/e-business; Information Storage and Retrieval; Information storage and retrieval systems. |
Thesaurus Nal: |
computer science; information systems. |
Categoria do assunto: |
-- |
URL: |
https://dx.doi.org/10.1007/978-3-540-85485-2
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Marc: |
LEADER 00912nam a2200253 a 4500 001 1892016 005 2011-06-16 008 2008 bl uuuu u0uu1 u #d 020 $a9783540854852 100 1 $aALTMANN, J. 245 $aGrid Economics and Business Models$b5th International Workshop, GECON 2008, Las Palmas de Gran Canaria, Spain, August 26, 2008. Proceedings$h[electronic resource] 260 $aSpringer eBooks.$c2008 300 $cv.: digital 490 $aLecture Notes in Computer Science,5206 650 $acomputer science 650 $ainformation systems 653 $aComputer Appl. in Administrative Data Processing 653 $aComputer Communication Networks 653 $aElectronic commerce 653 $aElectronic Commerce/e-business 653 $aInformation Storage and Retrieval 653 $aInformation storage and retrieval systems 700 1 $aNEUMANN, D. 700 1 $aFAHRINGER, T.
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Ebooks (Ebooks) |
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Registro Completo
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
20/09/2021 |
Data da última atualização: |
20/09/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
OLIVEIRA, V. M. de; MANFIO, G. P.; COUTINHO, H. L. da C.; KEIJZER-WOLTERS, A. C.; ELSAS, J. D. van. |
Afiliação: |
VALÉRIA MAIA DE OLIVEIRA, UNICAMP; GILSON PAULO MANFIO, UNICAMP; HEITOR LUIZ DA COSTA COUTINHO, CNPS; ANNEKE CHRISTINA KEIJZER-WOLTERS, Plant Research International; JAN DIRK VAN ELSAS, University of Groningen. |
Título: |
A ribosomal RNA gene intergenic spacer based PCR and DGGE fingerprinting method for the analysis of specific rhizobial communities in soil. |
Ano de publicação: |
2006 |
Fonte/Imprenta: |
Journal of Microbiological Methods, v. 64, n. 3, p. 366-379, Mar. 2006. |
DOI: |
https://doi.org/10.1016/j.mimet.2005.05.015 |
Idioma: |
Inglês |
Conteúdo: |
A direct molecular method for assessing the diversity of specific populations of rhizobia in soil, based on nested PCR amplification of 16S-23S ribosomal RNA gene (rDNA) intergenic spacer (IGS) sequences, was developed. Initial generic amplification of bacterial rDNA IGS sequences from soil DNA was followed by specific amplification of (1) sequences affiliated with Rhizobium leguminosarum "sensu lato" and (2) R. tropici. Using analysis of the amplified sequences in clone libraries obtained on the basis of soil DNA, this two-sided method was shown to be very specific for rhizobial subpopulations in soil. It was then further validated as a direct fingerprinting tool of the target rhizobia based on denaturing gradient gel electrophoresis (DGGE). The PCR-DGGE approach was applied to soils from fields in Brazil cultivated with common bean (Phaseolus vulgaris) under conventional or no-tillage practices. The community fingerprints obtained allowed the direct analysis of the respective rhizobial community structures in soil samples from the two contrasting agricultural practices. Data obtained with both primer sets revealed clustering of the community structures of the target rhizobial types along treatment. Moreover, the DGGE profiles obtained with the R. tropici primer set indicated that the abundance and diversity of these organisms were favoured under NT practices. These results suggest that the R. leguminosarum-as well as R. tropici-targeted IGS-based nested PCR and DGGE are useful tools for monitoring the effect of agricultural practices on these and related rhizobial subpopulations in soils. MenosA direct molecular method for assessing the diversity of specific populations of rhizobia in soil, based on nested PCR amplification of 16S-23S ribosomal RNA gene (rDNA) intergenic spacer (IGS) sequences, was developed. Initial generic amplification of bacterial rDNA IGS sequences from soil DNA was followed by specific amplification of (1) sequences affiliated with Rhizobium leguminosarum "sensu lato" and (2) R. tropici. Using analysis of the amplified sequences in clone libraries obtained on the basis of soil DNA, this two-sided method was shown to be very specific for rhizobial subpopulations in soil. It was then further validated as a direct fingerprinting tool of the target rhizobia based on denaturing gradient gel electrophoresis (DGGE). The PCR-DGGE approach was applied to soils from fields in Brazil cultivated with common bean (Phaseolus vulgaris) under conventional or no-tillage practices. The community fingerprints obtained allowed the direct analysis of the respective rhizobial community structures in soil samples from the two contrasting agricultural practices. Data obtained with both primer sets revealed clustering of the community structures of the target rhizobial types along treatment. Moreover, the DGGE profiles obtained with the R. tropici primer set indicated that the abundance and diversity of these organisms were favoured under NT practices. These results suggest that the R. leguminosarum-as well as R. tropici-targeted IGS-based nested PCR and DGGE are us... Mostrar Tudo |
Palavras-Chave: |
Culture-independent analysis; DGGE; Diversity; RDNA spacer; Rhizobia. |
Thesaurus NAL: |
Soil management. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02461naa a2200253 a 4500 001 2134556 005 2021-09-20 008 2006 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.mimet.2005.05.015$2DOI 100 1 $aOLIVEIRA, V. M. de 245 $aA ribosomal RNA gene intergenic spacer based PCR and DGGE fingerprinting method for the analysis of specific rhizobial communities in soil.$h[electronic resource] 260 $c2006 520 $aA direct molecular method for assessing the diversity of specific populations of rhizobia in soil, based on nested PCR amplification of 16S-23S ribosomal RNA gene (rDNA) intergenic spacer (IGS) sequences, was developed. Initial generic amplification of bacterial rDNA IGS sequences from soil DNA was followed by specific amplification of (1) sequences affiliated with Rhizobium leguminosarum "sensu lato" and (2) R. tropici. Using analysis of the amplified sequences in clone libraries obtained on the basis of soil DNA, this two-sided method was shown to be very specific for rhizobial subpopulations in soil. It was then further validated as a direct fingerprinting tool of the target rhizobia based on denaturing gradient gel electrophoresis (DGGE). The PCR-DGGE approach was applied to soils from fields in Brazil cultivated with common bean (Phaseolus vulgaris) under conventional or no-tillage practices. The community fingerprints obtained allowed the direct analysis of the respective rhizobial community structures in soil samples from the two contrasting agricultural practices. Data obtained with both primer sets revealed clustering of the community structures of the target rhizobial types along treatment. Moreover, the DGGE profiles obtained with the R. tropici primer set indicated that the abundance and diversity of these organisms were favoured under NT practices. These results suggest that the R. leguminosarum-as well as R. tropici-targeted IGS-based nested PCR and DGGE are useful tools for monitoring the effect of agricultural practices on these and related rhizobial subpopulations in soils. 650 $aSoil management 653 $aCulture-independent analysis 653 $aDGGE 653 $aDiversity 653 $aRDNA spacer 653 $aRhizobia 700 1 $aMANFIO, G. P. 700 1 $aCOUTINHO, H. L. da C. 700 1 $aKEIJZER-WOLTERS, A. C. 700 1 $aELSAS, J. D. van 773 $tJournal of Microbiological Methods$gv. 64, n. 3, p. 366-379, Mar. 2006.
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